---
title: 'Product Manager, Cloud at Modular'
canonical: 'https://feeny.ai/job/product-manager-cloud-modular-united-states-canada-9ks8p0xdqtk4'
type: 'job'
last_seen: '2026-09-10'
---

# Product Manager, Cloud at Modular

- **Company:** Modular
- **Location:** United States / Canada
- **Employment:** full-time
- **Work type:** remote
- **Posted:** 2026-02-05
- **Last confirmed live:** 2026-09-10
- **Apply:** https://jobs.gem.com/modular/am9icG9zdDoiiTE_lRk13E16vpHmO1j0

## Job description

About the role:

Modular is building a next-generation AI infrastructure platform that unifies fragmented application frameworks and hardware backends into a single, programmable system – making it easier to deploy AI in production while accelerating innovation across models and hardware. We’re looking for someone to drive the product vision for Modular’s cloud compute platform: a high-performance, scalable AI model-serving system designed for advanced GenAI developers, with deep visibility and control over performance, cost, and execution. In this role, you’ll work closely with engineering, program management, and technical writing to turn cutting-edge infrastructure into real customer value, evolve the platform from early adoption into a scalable cloud business, and collaborate with leading AI companies and hardware partners as we redefine modern AI infrastructure through a more transparent, performance-driven cloud.

LOCATION: Candidates based in the US or Canada are welcome to apply. You can work in our office in Los Altos, CA or remotely from home. Onboarding for new hires is conducted in-person in our Los Altos, CA office.

What you will do:

- Own the product vision and strategy for Modular’s Cloud Platform, grounded in real customer workloads and measurable business outcomes.
- Partner with engineering and leading AI application teams to design and deliver a high-performance, transparent AI serving platform, giving customers deep visibility and control over performance, cost, and execution.
- Define and manage roadmaps, milestones, and success metrics, balancing near-term delivery with long-term platform evolution.
- Drive customer- and data-informed prioritization, translating market signals, performance insights, and feedback into clear product decisions and trade-offs.
- Work cross-functionally with engineering, program management, technical writing, design, and GTM to deliver a cohesive end-to-end cloud product experience.
- Engage directly with advanced enterprise customers and partners to validate direction, support early deployments, and feed learnings back into the platform.
- Identify and advance strategic integrations across hardware, cloud, and ecosystem partners while preserving performance and programmability as first-class principles.

What you bring to the table:

- 9+ years of product management experience, including significant work on technical cloud platforms, AI infrastructure, or data systems, or equivalent experience as a software or AI systems engineer.
- Strong understanding of cloud architectures and technologies (e.g., Kubernetes), and/or experience with AI infrastructure platforms such as PyTorch, vLLM, CUDA, Vertex AI, SageMaker, or similar systems.
- Experience defining product vision, shaping roadmap trade-offs, and driving products from early adoption toward broader production use.
- Familiarity with security, privacy, and compliance considerations for cloud platforms.
- Strong analytical and systems-level thinking, with the ability to reason about performance, scalability, and cost.
- Excellent written and verbal communication skills, especially when working across technical and non-technical audiences.
- A growth-oriented mindset with a bias toward learning from customers, data, and real-world usage.

Minimum Qualifications:

- Bachelor's degree in Engineering, Information Systems, Computer Science, or related technical field.
- 8+ years of Product Management or related work experience.- Completed advanced degrees in a relevant field may be substituted for up to two years of work experience.

Helpful, but not required:

- Master's degree or Ph.D. in Computer Science or related technical field.
- Experience developing, training, and/or deploying machine learning models into production environments.
- Have worked in or around startups before or have a strong understanding of the nature of fast-moving, highly dynamic teams.

What Modular brings to the table:

- Amazing Team. We are a progressive and agile team with some of the industry’s best engineering and product leaders.
- World-class Benefits. In order to attract the best, we need to offer the best. Your benefits package may include comprehensive healthcare coverage, retirement and savings programs, employee stock purchase opportunities, paid time off, wellbeing resources, family support programs, and learning and development opportunities. Please note that specific benefit packages may vary based on your location, you can read more about [benefits offered by Qualcomm here](https://www.qualcomm.com/company/careers/benefits).
- Competitive Compensation. We offer very strong compensation packages, including RSU grants. We want people to be focused on their best work and believe in tailoring compensation plans to meet the needs of our workforce.
- Team Building Events. We organize regular team onsites and local meetups in Los Altos, CA as well as different cities. Traveling 2-4 times a year is expected for all roles.

Working at Modular will enable you to grow quickly as you work alongside incredibly motivated and talented people who have high standards, possess a growth mindset, and a purpose to truly change the world.

The estimated base salary range for this role to be performed in the US, regardless of the state, is $222,800.00 - $344,800.00 USD. The estimated base salary range for this role to be performed in Canada, regardless of the province, is $177,300.00 - $265,900 CAD.

The salary for the successful applicant will depend on a variety of permissible, non-discriminatory job-related factors, which include but are not limited to education, training, work experience, business needs, or market demands. This range may be modified in the future. The total compensation for a candidate will also include annual target bonus, equity, and benefits, with equity making up a significant portion of your total compensation.

For candidates who fall outside of the listed requirements, we nevertheless encourage you to apply as we may have upcoming openings that are lower/higher level than the ones advertised.

## About Modular

## Company Overview
- **One-liner**: Modular builds a unified, high-performance AI inference platform that enables developers to run AI workloads efficiently across any hardware.
- **Entity Type**: Private (Acquired by Qualcomm in July 2026)
- **Headquarters**: Los Altos, California, United States
- **Founded**: 2022
- **Founders**: Chris Lattner and Tim Davis

## Core Business
- **Primary industry/industries**: AI Infrastructure, Deep Learning, Software Development
- **Target customers**: AI/ML engineers, data scientists, and enterprises deploying large-scale AI models (B2B, Enterprise)
- **Mission statement**: "Make AI’s compute layer unified, efficient, and accessible to all."

## Products & Services
- **Modular Platform (MAX)**: A unified AI inference platform offering text, audio, and image inference. It provides state-of-the-art performance with shared or dedicated endpoints, deployment in Modular's cloud or the customer's VPC, and support for custom models. It includes a high-performance, hardware-agnostic serving framework that automatically optimizes kernels across accelerators.
- **Mojo**: A high-performance systems language designed for writing composable GPU kernels, enabling maximum performance across different hardware.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (acquired by Qualcomm). Total funding raised was $380M.
- **Key Metric**: Total Funding of $380M, with an annual revenue of $1M as of the latest data.
- **Notable Investors/Partners**: General Catalyst (lead, Series B), Google Ventures (lead, Seed), US Innovative Technology Fund (lead, Series C).
- **Growth Signals**: Headcount grew by 39.9% year-over-year to 157 employees. The company was acquired by Qualcomm in July 2026, signaling a major strategic validation and exit. It maintains a strong technical workforce (110 out of 157 employees are in technical roles).

## Competitive Advantages
- **Hardware Agnosticism**: The platform runs seamlessly across NVIDIA, AMD, Trainium, TPU, Qualcomm, Intel, ARM, and Apple silicon, providing true portability and preventing vendor lock-in.
- **Full-Stack Optimization**: Optimizes from low-level GPU kernels to API endpoints, delivering significant performance gains (e.g., 2x improvement over vLLM on diverse hardware) and up to 50% cost savings.
- **Founding Team**: Led by Chris Lattner (creator of LLVM, Clang, and Swift) and Tim Davis, with decades of experience building AI infrastructure at Google and other big tech companies.

## Strategic Focus
- **Unifying AI Compute**: The company’s core mission is to solve the fragmentation in AI infrastructure by creating a modular and composable platform.
- **Open Source & Ecosystem**: Modular is open-sourcing the Mojo language and the MAX engine to drive adoption and build a community.
- **Post-Acquisition Integration**: Following the acquisition by Qualcomm, the strategic focus will likely shift towards integrating its technology into Qualcomm’s hardware ecosystem and scaling its deployment to edge and mobile devices.

## Why Work Here
- **Cutting-Edge Technology**: Employees work on building deep learning infrastructure from silicon to system, offering full-stack mastery of the AI software/hardware stack.
- **Strong Compensation & Benefits**: Offers leading medical, dental, and vision insurance, strong compensation and equity packages, a 401k plan with up to 5% match, generous parental leave, unlimited paid time off, and a $1,500 work-from-home stipend.
- **Culture**: Described as intellectually curious, humble, and collaborative. The company values work/life balance and offers flexible work hours and hybrid work options.
- **High Employee Ratings**: On LinkedIn, the company has a 4.3/5.0 employer rating, with perfect 5.0 scores for Culture and Career, and 4.6 for Work-Life and Compensation.
- **Onboarding & Process**: Onboarding occurs onsite at the Los Altos office. The interview process is straightforward, generally taking about 4 weeks, and includes a culture interview.

## Sources
1. [Modular Careers Page](https://www.modular.com/company/careers)
2. [Modular About Us](https://www.modular.com/company/about)
3. [Modular Website](https://www.modular.com/)
4. [Modular LinkedIn](https://www.linkedin.com/company/modular-ai)
5. [Modular Careers on Gem](https://jobs.gem.com/modular)

## Other roles at Modular

- [Developer Advocate, MAX Inference & Serving](https://feeny.ai/job/developer-advocate-max-inference-serving-modular-united-states-canada-s1r9bnna72jz) — United States / Canada
- [Senior Open Source Community Engineer](https://feeny.ai/job/senior-open-source-community-engineer-modular-united-states-canada-4mtpdvn8xgw9) — United States / Canada
- [Developer Advocate, Mojo](https://feeny.ai/job/developer-advocate-mojo-modular-united-states-canada-hgq4cjnkdxh8) — United States / Canada
- [AI Inference Tools Engineer](https://feeny.ai/job/ai-inference-tools-engineer-modular-united-states-8sk0kdjq8g93) — United States
- [Inference Optimization Manager](https://feeny.ai/job/inference-optimization-manager-modular-united-states-canada-9910s7qpd0fy) — United States / Canada
- [Inference Optimization Engineer](https://feeny.ai/job/inference-optimization-engineer-modular-united-states-canada-h70h6szsvg8e) — United States / Canada
- [Senior AI Kernel Engineer](https://feeny.ai/job/senior-ai-kernel-engineer-modular-united-states-canada-crsvzs19n2q8) — United States / Canada
- [Cloud Inference Engineer](https://feeny.ai/job/cloud-inference-engineer-modular-united-states-canada-nnas25s7s2g3) — United States / Canada